THE IMPACT OF AI ON INTERNAL AUDIT AND ACCOUNTING PRACTICES

Adrian Nicolau ()
Additional contact information
Adrian Nicolau: Athenaeum University, Bucharest, Romania

Internal Auditing and Risk Management, 2023, vol. 67s, issue 2, 38-56

Abstract: The technological evolution in the last decade has led to the extensive integration of Artificial Intelligence (AI) into various fields, including audit and accounting. This research addresses the profound transformation of audit and accounting methodologies through the integration of AI-based technologies. Focusing on the application of linear regression in financial data analysis, this study explores the efficiency and accuracy of AI in interpreting, analyzing, and predicting financial models. Using simulated data sets and implementing the model in Python, the results show a strong correlation between the level of AI implementation and audit efficiency. Our vision for the future suggests a deep collaboration between human capability and artificial intelligence, allowing for a more accurate and efficient audit. This transformation will require ongoing adaptation from professionals and industry regulations.

Keywords: Artificial Intelligence; Financial Audit; Linear Regression; Technology; Financial Analysis (search for similar items in EconPapers)
JEL-codes: C53 C88 M41 (search for similar items in EconPapers)
Date: 2023
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://aimr.univath.ro/download/1309_S120.pdf (application/pdf)
http://aimr.univath.ro/en/article/THE-IMPACT-OF-AI ... -PRACTICES~1309.html (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ath:journl:v:67s:y:2023:i:2:p:38-56

Access Statistics for this article

Internal Auditing and Risk Management is currently edited by Emilia Vasile

More articles in Internal Auditing and Risk Management from Athenaeum University of Bucharest Contact information at EDIRC.
Bibliographic data for series maintained by Cosmin Catalin Olteanu and Emilia Vasile ().